#gpu

Code at the speed of thought – Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.

eBPF-based GPU causal observability agent with MCP server. Traces CUDA Runtime/Driver APIs and host kernel events to build causal chains explaining GPU latency

MCP Server for automation in the PlayCanvas Editor

Turn slow PyTorch into fast CUDA/Triton kernels. 32 parallel swarm agents optimize your code on real datacenter GPUs (B200, H200, H100, A100) with up to 14x speedup over torch.compile.

MCP Server for AI automation of the PlayCanvas Editor

This server integrates with the fastmcp library to expose the full range of NebulaBlock API functionalities as accessible tools, enabling seamless and efficient interaction within any MCP-compatible environment.

AI-powered image processing MCP server. Remove backgrounds and upscale images (2x/4x) directly from Claude or any MCP-compatible client. Uses GPU-accelerated processing with OAuth 2.1 authentication. Supports URL-based image input with instant results returned inline. Free credits on signup.

Access 47 AI models and 30 services via MCP. LLM, image gen, video, speech, embeddings, reranking, PDF parsing & more. Pay-per-use with x402 (USDC) or API key.

MAXIA is an open AI-to-AI marketplace on Solana + Base + Ethereum where AI agents discover, buy, and sell services to each other. Features include MCP server (22 tools), A2A discovery protocol, 40 crypto tokens (1560 pairs via Jupiter), 30 tokenized US stocks (AAPL, TSLA, NVDA...), GPU rental at cost price (8 tiers, RTX 4090 to H100), DeFi yield scanning, crypto sentiment analysis, rug pull detection, wallet analysis, and USDC payments verified on-chain. Pay per use only, no subscription. Register free.

AI hardware compatibility data for running LLMs locally. Query 50 models, 25 GPUs, 9 ready-to-buy machines, and 663 compatibility entries. Get hardware recommendations, check VRAM requirements, and find buy links.

Rent GPUs, robots, drones, and construction gear on RIGShare; also onboards equipment owners.